Alexander Rudnicky

Alexander Rudnicky

Carnegie Mellon University

H-index: 52

North America-United States

About Alexander Rudnicky

Alexander Rudnicky, With an exceptional h-index of 52 and a recent h-index of 25 (since 2020), a distinguished researcher at Carnegie Mellon University, specializes in the field of spoken language processing, dialog, speech recognition, robotics, artificial intelligence.

His recent articles reflect a diverse array of research interests and contributions to the field:

Learning to Ask Questions for Zero-shot Dialogue State Tracking

A unified one-shot prosody and speaker conversion system with self-supervised discrete speech units

Overview of the Tenth Dialog System Technology Challenge: DSTC10

Exploring wav2vec 2.0 fine tuning for improved speech emotion recognition

A vector quantized approach for text to speech synthesis on real-world spontaneous speech

Latent positional information is in the self-attention variance of transformer language models without positional embeddings

Attention Alignment and Flexible Positional Embeddings Improve Transformer Length Extrapolation

Structured dialogue discourse parsing

Alexander Rudnicky Information

University

Position

Research Professor of Computer Science

Citations(all)

10401

Citations(since 2020)

2844

Cited By

8541

hIndex(all)

52

hIndex(since 2020)

25

i10Index(all)

161

i10Index(since 2020)

63

Email

University Profile Page

Google Scholar

Alexander Rudnicky Skills & Research Interests

spoken language processing

dialog

speech recognition

robotics

artificial intelligence

Top articles of Alexander Rudnicky

Title

Journal

Author(s)

Publication Date

Learning to Ask Questions for Zero-shot Dialogue State Tracking

Diogo Tavares

David Semedo

Alexander Rudnicky

Joao Magalhaes

2023/7/19

A unified one-shot prosody and speaker conversion system with self-supervised discrete speech units

Li-Wei Chen

Shinji Watanabe

Alexander Rudnicky

2023/6/4

Overview of the Tenth Dialog System Technology Challenge: DSTC10

IEEE/ACM Transactions on Audio, Speech, and Language Processing

Koichiro Yoshino

Yun-Nung Chen

Paul Crook

Satwik Kottur

Jinchao Li

...

2023/7/6

Exploring wav2vec 2.0 fine tuning for improved speech emotion recognition

Li-Wei Chen

Alexander Rudnicky

2023/6/4

A vector quantized approach for text to speech synthesis on real-world spontaneous speech

Proceedings of the AAAI Conference on Artificial Intelligence

Li-Wei Chen

Shinji Watanabe

Alexander Rudnicky

2023/6/26

Latent positional information is in the self-attention variance of transformer language models without positional embeddings

arXiv preprint arXiv:2305.13571

Ta-Chung Chi

Ting-Han Fan

Li-Wei Chen

Alexander I Rudnicky

Peter J Ramadge

2023/5/23

Attention Alignment and Flexible Positional Embeddings Improve Transformer Length Extrapolation

arXiv preprint arXiv:2311.00684

Ta-Chung Chi

Ting-Han Fan

Alexander I Rudnicky

2023/11/1

Structured dialogue discourse parsing

arXiv preprint arXiv:2306.15103

Ta-Chung Chi

Alexander I Rudnicky

2023/6/26

Transformer working memory enables regular language reasoning and natural language length extrapolation

arXiv preprint arXiv:2305.03796

Ta-Chung Chi

Ting-Han Fan

Alexander I Rudnicky

Peter J Ramadge

2023/5/5

Advancing Regular Language Reasoning in Linear Recurrent Neural Networks

arXiv preprint arXiv:2309.07412

Ting-Han Fan

Ta-Chung Chi

Alexander I Rudnicky

2023/9/14

Overview of robust and multilingual automatic evaluation metrics for open-domain dialogue systems at dstc 11 track 4

Mario Rodríguez-Cantelar

Chen Zhang

Chengguang Tang

Ke Shi

Sarik Ghazarian

...

2023/9

Kerple: Kernelized relative positional embedding for length extrapolation

Advances in Neural Information Processing Systems

Ta-Chung Chi

Ting-Han Fan

Peter J Ramadge

Alexander Rudnicky

2022/12/6

Training discrete deep generative models via gapped straight-through estimator

Ting-Han Fan

Ta-Chung Chi

Alexander I Rudnicky

Peter J Ramadge

2022/6/28

Fine-grained style control in transformer-based text-to-speech synthesis

Li-Wei Chen

Alexander Rudnicky

2022/5/23

An empirical study to understand the compositional prowess of neural dialog models

Vinayshekhar Bannihatti Kumar

Vaibhav Kumar

Mukul Bhutani

Alexander Rudnicky

2022/5

Receptive field alignment enables transformer length extrapolation

arXiv preprint arXiv:2212.10356

Ta-Chung Chi

Ting-Han Fan

Alexander I Rudnicky

2022

Dissecting transformer length extrapolation via the lens of receptive field analysis

arXiv preprint arXiv:2212.10356

Ta-Chung Chi

Ting-Han Fan

Alexander I Rudnicky

Peter J Ramadge

2022/12/20

Spoken language interaction with robots: Recommendations for future research

Matthew Marge

Carol Espy-Wilson

Nigel G Ward

Abeer Alwan

Yoav Artzi

...

2022/1/1

ifetch: Multimodal conversational agents for the online fashion marketplace

Ricardo Gamelas Sousa

Pedro Miguel Ferreira

Pedro Moreira Costa

Pedro Azevedo

Joao Paulo Costeira

...

2021/11/17

Automatic evaluation and moderation of open-domain dialogue systems

DSTC10 @ AAAI-2022

Chen Zhang

João Sedoc

Luis Fernando D'Haro

Rafael Banchs

Alexander Rudnicky

2021/11/3

See List of Professors in Alexander Rudnicky University(Carnegie Mellon University)

Co-Authors

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